mirror of
https://github.com/NousResearch/atropos.git
synced 2026-04-22 16:48:57 +00:00
Merge edmundman's UFC_FIGHT_PREDICTOR contribution
This commit is contained in:
parent
0e660a7429
commit
606b917042
73 changed files with 25564 additions and 3223 deletions
|
|
@ -0,0 +1,98 @@
|
|||
import json
|
||||
import logging
|
||||
import os
|
||||
from pathlib import Path
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from livekit import api
|
||||
from livekit.agents import (
|
||||
Agent,
|
||||
AgentSession,
|
||||
ChatContext,
|
||||
JobContext,
|
||||
WorkerOptions,
|
||||
cli,
|
||||
)
|
||||
from livekit.plugins import deepgram, openai, silero
|
||||
from livekit.plugins.turn_detector.multilingual import MultilingualModel
|
||||
|
||||
load_dotenv(os.path.join(os.path.dirname(__file__), "..", "..", ".env"))
|
||||
|
||||
|
||||
logger = logging.getLogger("mcp-agent")
|
||||
|
||||
load_dotenv(dotenv_path=Path(__file__).parent.parent / ".env")
|
||||
|
||||
|
||||
class MyAgent(Agent):
|
||||
def __init__(self, chat_ctx: ChatContext) -> None:
|
||||
super().__init__(
|
||||
instructions=(
|
||||
"You can have phone calls. The interface is voice-based: "
|
||||
"accept spoken user queries and respond with synthesized speech."
|
||||
),
|
||||
chat_ctx=chat_ctx,
|
||||
)
|
||||
|
||||
async def on_enter(self):
|
||||
self.session.generate_reply()
|
||||
|
||||
|
||||
async def entrypoint(ctx: JobContext):
|
||||
await ctx.connect()
|
||||
|
||||
# If a phone number was provided, then place an outbound call
|
||||
# By having a condition like this, you can use the same agent for inbound/outbound telephony
|
||||
# as well as web/mobile/etc.
|
||||
dial_info = json.loads(ctx.job.metadata)
|
||||
phone_number = dial_info["phone_number"]
|
||||
|
||||
# The participant's identity can be anything you want, but this example uses the phone number itself
|
||||
sip_participant_identity = phone_number
|
||||
if phone_number is not None:
|
||||
# The outbound call will be placed after this method is executed
|
||||
try:
|
||||
await ctx.api.sip.create_sip_participant(
|
||||
api.CreateSIPParticipantRequest(
|
||||
# This ensures the participant joins the correct room
|
||||
room_name=ctx.room.name,
|
||||
# This is the outbound trunk ID to use (i.e. which phone number the call will come from)
|
||||
# You can get this from LiveKit CLI with `lk sip outbound list`
|
||||
sip_trunk_id=os.environ.get("TWILIO_SIP_TRUNK_ID"),
|
||||
# The outbound phone number to dial and identity to use
|
||||
sip_call_to=phone_number,
|
||||
participant_identity=sip_participant_identity,
|
||||
# This will wait until the call is answered before returning
|
||||
wait_until_answered=True,
|
||||
)
|
||||
)
|
||||
|
||||
print("call picked up successfully")
|
||||
except api.TwirpError as e:
|
||||
print(
|
||||
f"error creating SIP participant: {e.message}, "
|
||||
f"SIP status: {e.metadata.get('sip_status_code')} "
|
||||
f"{e.metadata.get('sip_status')}"
|
||||
)
|
||||
ctx.shutdown()
|
||||
|
||||
session = AgentSession(
|
||||
vad=silero.VAD.load(),
|
||||
stt=deepgram.STT(model="nova-3", language="multi"),
|
||||
llm=openai.LLM(model="gpt-4o-mini"),
|
||||
tts=openai.TTS(voice="ash"),
|
||||
turn_detection=MultilingualModel(),
|
||||
)
|
||||
|
||||
await session.start(agent=MyAgent(chat_ctx=session._chat_ctx), room=ctx.room)
|
||||
|
||||
if phone_number is None:
|
||||
await session.generate_reply(
|
||||
instructions="Greet the user and offer your assistance."
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
cli.run_app(
|
||||
WorkerOptions(entrypoint_fnc=entrypoint, agent_name="my-telephony-agent")
|
||||
)
|
||||
Loading…
Add table
Add a link
Reference in a new issue